Abstract
This article considers the error of the scrambled equidistribution quadrature rules in the worst-case, random-case, and average-case settings. The underlying space of integrands is a Hilbert space of multidimensional Haar wavelet series, ℋwav. The asymptotic orders of the errors are derived for the case of the scrambled (λ, t, m, s)-nets and (t, s)-sequences. These rules are shown to have the best asymptotic convergence rates for any random quadrature rule for the space of integrands ℋ wav.
| Original language | English |
|---|---|
| Pages (from-to) | 259-277 |
| Number of pages | 19 |
| Journal | Mathematics of Computation |
| Volume | 73 |
| Issue number | 245 |
| DOIs | |
| Publication status | Published - Jan 2004 |
| Externally published | Yes |
User-Defined Keywords
- High dimensional integration
- Lower bounds
- Monte Carlo methods
- Quasi-Monte Carlo methods
Fingerprint
Dive into the research topics of 'Optimal quadrature for haar wavelet spaces'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver